Check it out: Enhanced Pack Cloning! Moving a Pack *used to* mean hunting down every secret, certificate, and Group Variable in the current Worker Group. Then you had to recreate it all in the target Worker Group. Enhanced Pack Cloning lets you copy a Pack and its dependencies (secrets, certificates, and Group Variables) across multiple Worker Groups or Fleets! See how it works: https://bit.ly/4uk9gS6
Cribl
Software Development
San Francisco, California 117,238 followers
Cribl, the AI Platform for Telemetry, empowers enterprises to manage and analyze telemetry for humans and agents.
About us
Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Powered by a data processing engine purpose-built for IT and Security, Cribl’s product suite is a vendor-agnostic data management solution capable of collecting data from any source, processing billions of events per second, automatically routing data for optimized storage, and analyzing any data, at any time, in any location. With Cribl, IT and Security teams have the choice, control, and flexibility required to adapt to their ever-changing data needs. Cribl’s offerings–Stream, Edge, and Search–are available either as discrete products or as a holistic solution.
- Website
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https://www.cribl.io/
External link for Cribl
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
Get directions
22 4th Street
Suite 1300
San Francisco, California 94103, US
Employees at Cribl
Updates
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JT said it best! Answer to the #CriblCon call for papers and submit by May 22nd! Whether you’re optimizing telemetry pipelines with Stream, managing collection at scale with Edge, searching across disparate data stores with Search, or building a tiered data strategy with Lake, we want to hear your story: https://bit.ly/4d0R08g
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🇨🇦 We are POUTINE your telemetry data to the test — is it #AI-ready? Join us at STORYs in Toronto on Tuesday, May 12th from 11:00 AM – 5:00 PM for a hands-on lab, networking lunch, informative sessions, and a happy hour. Learn how to build a strategy that ensures compliance and AI readiness: https://bit.ly/3QA69pM Thank you to our sponsors: Palo Alto Networks, Axonius, Gigamon, and Imply
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Deploy in minutes. Nothing to maintain. Grows with your business. Yes. Yes. And yes. That's Cribl.Cloud for ya: https://bit.ly/3Z8uGmU
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Yesterday we delivered our first #CriblWorks | Tech Edu Day in London, and the level of partner engagement was outstanding! The focus was simple: to provide our partner community with the right environment, dedicated time, and direct access to Cribl expertise to complete their Cribl University certification and translate that learning into real-world delivery and customer impact. Why our Certification Program matters: 🎓 Build delivery capability 🎓 Accelerate time to value 🎓 Strengthen partner credibility Plus, it's FREE. For more info visit: https://bit.ly/49kptgZ More to come as we scale this across EMEA! Kelly Tame, James Todd, Elliott Poulain, Hadas Hughes, Darren Dance, Duncan Turnbull, Robert C., Sam Liddeatt, Zachary Kilpatrick
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We are thrilled that these new goats have taken the leap and joined us! Say hello to Felix Sibal, Sharmila BP, John Lukey, Jill L., Minesh Mehta, MacKenzie Lieberman, Morgan Schweers, Remo Cocco, Maciej Jarkowski, Taryn Uperesa, and Kevin Bittner!
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We're screaming this from the rooftops: When the job is scanning telemetry, you want a model built for telemetry. See the results that our incredibl #AI team is delivering to protect your sensitive data:
This weekend I shared that Cribl’s privacy models beat OpenAI’s new Privacy Filter on accuracy for telemetry. The performance gap is much bigger: cribl-privacy-1.5-fast is 133x faster compared with Privacy Filter when it comes to telemetry data on our CPU throughput benchmark. Why CPUs? It's because telemetry and log data is processed on commodity hardware. If you're part of this industry, it's common to see enterprises deal with hundreds of TBs of logs every single day. In that environment, GPUs are usually the wrong answer. When the job is scanning telemetry, you want a model built for telemetry. The reason cribl-privacy models are faster is due to the size of our models -- cribl-privacy-1.5-fast: 4.4M params cribl-privacy-1.0: 9.6M params cribl-privacy-1.5-pro: 14M params OpenAI Privacy Filter: 1.5B total params / 50M active params We compressed privacy filtering into a tiny fraction of the parameters to deliver the throughput our customers demand, while beating a much larger model on accuracy!
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Your storage choice shouldn’t be one and done. Choose a data storage strategy that aligns with the value, usage patterns, and retention requirements you need. Get ready to make waves: https://bit.ly/4qPOiIz
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Turn logs into gold with Cribl Insights. ⤵️ Reduce downtime and streamline operations ⭐ Optimize resources and control costs 👍 Prove ROI and business impact with clear metrics on adoption, usage, and operational impact Try it out: https://bit.ly/4k2Xcjc